Calculate the cost of using qwen-vl-plus from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 8,192 tokens
Max: 2,048 tokens
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qwen-vl-plus is a chat model from OpenRouter, one of 351 chat models they offer. It is priced at $0.14 per 1M input tokens and $0.41 per 1M output tokens, ranking 404 out of 2292 chat models by cost and cheaper than 82% of models in this category. qwen-vl-plus supports vision. It accepts up to 8K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 8,192 input tokens. The maximum output length is 2,048 tokens.
At $0.14 per 1M input tokens and $0.41 per 1M output tokens, qwen-vl-plus ranks 404 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 82% of models in this category.
qwen-vl-plus is one of 351 OpenRouter chat models, with support for vision.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen-vl-plus |
|---|---|---|---|---|
| gpt-4o-mini-2024-07-18 | Azure | $0.17 | $0.66 | +21% |
| gpt-4o-mini | Azure | $0.15 | $0.60 | +10% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.11 | $0.44 | -19% |
Similar chat models from other providers
Yes. qwen-vl-plus costs $0.14 per 1M input tokens compared to gpt-4o-mini-2024-07-18's $0.17 per 1M input tokens, making it 21% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.
qwen-vl-plus input pricing is $0.14 per 1M tokens, which is 75% below the median of $0.55 for chat models. It ranks 404 out of 2292 chat models by input cost, making it cheaper than 82% of models in this category. For output, it costs $0.41 per 1M tokens compared to the median of $1.50.
Among OpenRouter's 351 chat models, qwen-vl-plus ranks 88 by input cost.
The most comparable chat models to qwen-vl-plus are: gpt-4o-mini-2024-07-18 from Azure ($0.17/1M input tokens); gpt-4o-mini from Azure ($0.15/1M input tokens); gpt-4.1-nano-2025-04-14 from Azure ($0.11/1M input tokens); Phi-3.5-vision-instruct from Azure ($0.13/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
qwen-vl-plus is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.14 and generating 1M output tokens costs $0.41.
